MacBook Air (13-inch, 2025)
Geekbench AI Score
4937
Single Precision Score
8038
Half Precision Score
6423
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | TheSub |
| Upload Date | December 26 2025 04:20 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | MacBook Air (13-inch, 2025) |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2112
392.7 IPS |
|
|
Image Classification (HP)
|
100% |
3380
628.6 IPS |
|
|
Image Classification (Q)
|
96% |
2347
438.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3181
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3557
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10038
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19465
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16650
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2423
192.2 IPS |
|
|
Object Detection (HP)
|
97% |
3805
302.9 IPS |
|
|
Object Detection (Q)
|
94% |
2708
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
4250
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
7669
91.1 IPS |
|
|
Face Detection (Q)
|
100% |
4418
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8521
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14040
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9888
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24273
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38739
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31763
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6078
224.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7121
263.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4966
183.4 IPS |
|
|
Text Classification (SP)
|
100% |
3287
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5945
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5799
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4550
78.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8013
138.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7949
137.4 IPS |
